CV
General Information
| Full Name | Mohab Kishawy |
| Position | Ph.D. Candidate in Electrical and Computer Engineering, McMaster University |
| Seeking | Research scientist roles in computer vision and 3D vision, from January 2027 (onsite or remote) |
| kishawym@mcmaster.ca | |
| Languages | English (fluent), Arabic (native) |
| Summary | Computer vision researcher working on physically grounded image restoration and 3D scene reconstruction, with first-author papers at ICPR 2026, the CVPR 2026 Workshops, and Scientific Reports, and four top-5 finishes in NTIRE challenges at CVPR (2024–2026). |
| Links |
Education
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2023 – 2026 Canada
Ph.D. in Electrical and Computer Engineering
McMaster University - Sep 2023 – Dec 2026 (expected)
- Thesis: Modelling the Physics of Degradation: Retinex-Based Restoration from 2D Images to 3D Scenes
- Advisor: Prof. Jun Chen
- GPA: 11.0/12.0 · Full scholarship
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2018 – 2023 Egypt
B.Sc. in Computer Engineering
Nile University - Sep 2018 – May 2023
- Thesis: Federated Learning System on Autonomous Vehicles for Lane Segmentation (published in Scientific Reports)
- Advisor: Dr. Mohamed S. Darweesh
- GPA: 3.7/4.0 · Full scholarship
Research Experience
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2023 – now Canada
Computer Vision Researcher
McMaster University, advised by Prof. Jun Chen - Physically grounded, Retinex-based restoration of ultra-high-definition images (Mamba, frequency-domain modelling) and of 3D scenes (3D Gaussian Splatting); released open-source code and pre-trained models.
- Led team entries in five NTIRE challenges at CVPR (2024, 2026) and competed in a sixth (2025), with four top-5 finishes.
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2021 – 2022 Egypt
Machine Learning Researcher
Helwan University, Electronics and Computer Engineering Lab - Dec 2021 – Dec 2022
- Automated assessment of students in online labs from mouse-tracking data, saving 32 hours of grading per term.
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2021 Egypt
Research Assistant
Nile University, Wireless Intelligent Network Center (WINC) - Feb 2021 – Aug 2021
- Plant-disease detection with a modified CNN; federated learning for lane segmentation on autonomous vehicles.
Selected Publications
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2026 VeilGS: Solving Darkness as a Veil of 2D Basis Maps over Retinex 3DGS
- M. Kishawy, C. Tang, S. Shirani, J. Chen
- Under review. Manuscript available on request.
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2026 RetinexDual: Retinex-Based Dual Nature Approach for Generalized Ultra-High-Definition Image Restoration
- M. Kishawy, A. A. Hussein, J. Chen
- International Conference on Pattern Recognition (ICPR), Lecture Notes in Computer Science, Springer, pp. 90–105, 2026. Poster, Lyon, France.
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2026 RetinexDualV2: Physically-Grounded Dual Retinex for Generalized UHD Image Restoration
- M. Kishawy, J. Chen
- IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, pp. 1989–1998, 2026. Poster, NTIRE Workshop, Denver, CO, USA.
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2024 Federated Learning System on Autonomous Vehicles for Lane Segmentation
- M. M. Eid Kishawy, M. T. Abd El-Hafez, R. Yousri, M. S. Darweesh
- Scientific Reports, vol. 14, art. 25029, 2024.
Other Publications
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2026 NTIRE 2026 The Second Challenge on Day and Night Raindrop Removal for Dual-Focused Images: Methods and Results
- X. Li, Y. Jin, S. Yao, …, M. Kishawy, J. Chen, … (98 authors)
- IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, pp. 2054–2070, 2026.
- Our team (RetinexDualV2) placed 4th.
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2026 Low Light Image Enhancement Challenge at NTIRE 2026
- G. Ciubotariu, S. S. M. A, …, M. Kishawy, J. Chen, … (91 authors)
- IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, pp. 1741–1753, 2026.
- Our team (RetinexDualV2) placed 5th in Track 2: Joint Denoising and Low-Light Image Enhancement (JDLLIE).
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2026 NTIRE 2026 Nighttime Image Dehazing Challenge Report
- R. P. Ancuti, A. Brateanu, …, M. Kishawy, … (89 authors)
- IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, pp. 1608–1625, 2026.
- Co-authored as a participating team (RetinexDualV2).
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2026 Advances in Single-Image Shadow Removal: Results from the NTIRE 2026 Challenge
- F.-A. Vasluianu, T. Seizinger, …, M. Kishawy, J. Chen, … (90 authors)
- IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, pp. 2582–2595, 2026.
- Co-authored as a participating team (RetinexDualV2).
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2025 NTIRE 2025 Challenge on Low Light Image Enhancement: Methods and Results
- X. Liu, Z. Wu, F.-A. Vasluianu, …, M. Kishawy, J. Chen, … (105 authors)
- IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, pp. 1196–1206, 2025.
- Our team (Imagine) placed 2nd overall, with the highest PSNR.
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2024 NTIRE 2024 Dense and Non-Homogeneous Dehazing Challenge Report
- C. O. Ancuti, C. Ancuti, …, M. Kishawy, … (68 authors)
- IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, pp. 6453–6468, 2024.
- Our team (ITB Dehaze) placed 4th.
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2022 A Generic AI-Based Technique for Assessing Student Performance in Conducting Online Virtual and Remote Controlled Laboratories
- A. M. Abd El-Haleem, M. M. Eid, M. M. Elmesalawy, H. A. H. Hosny
- IEEE Access, vol. 10, pp. 128046–128065, 2022.
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2022 A New Intelligent System for Evaluating and Assisting Students in Laboratory Learning Management System
- H. A. Hassan, M. M. Eid, M. M. Elmesalawy, A. M. Abd El-Haleem
- 14th International Conference on Computational Intelligence and Communication Networks (CICN), pp. 566–571, 2022.
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2021 Using Machine Learning Algorithms for Breast Cancer Diagnosis
- M. M. El-Lamey, M. M. Eid, M. Gamal, N. M. Bishady, A. W. Mohamed
- International Journal of Applied Metaheuristic Computing, vol. 12, no. 4, pp. 117–137, 2021.
- Reprinted in Research Anthology on Medical Informatics in Breast and Cervical Cancer, IGI Global, pp. 768–791, 2022.
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2021 Modelling and Analysis the Population Density Effect on the Infectiousness Rate of COVID-19 Novel Virus and the Mortality Rate Percentage Regarding Oxford's Stringency Index Model of Governmental Response in MATLAB
- A. M. Ibrahim, N. E. M. Bishady, S. H. Elghalban, N. N. Mostafa, M. M. Eid, K. M. Abdelhamid
- In Artificial Intelligence for COVID-19, Studies in Systems, Decision and Control, Springer, pp. 437–462, 2021.
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2020 Modeling the Effect of Population Density on Controlling COVID-19 Initial Spread with the Use of MATLAB Numerical Methods and Stringency Index Model
- A. M. Ibrahim, M. M. Eid, N. N. Mostafa, N. E. M. Bishady, S. H. Elghalban
- 2nd Novel Intelligent and Leading Emerging Sciences Conference (NILES), pp. 612–617, 2020.
Honors and Awards
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2026 - 4ᵗʰ Place, NTIRE 2026 Day and Night Raindrop Removal Challenge, CVPR 2026
- 5ᵗʰ Place, NTIRE 2026 Joint Denoising and Low-Light Image Enhancement track, CVPR 2026
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2025 - 2ⁿᵈ Place, NTIRE 2025 Low Light Image Enhancement Challenge, CVPR 2025 (highest PSNR)
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2024 - 4ᵗʰ Place, NTIRE 2024 Dense and Non-Homogeneous Dehazing Challenge, CVPR 2024
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2023 - 1ˢᵗ Place, Hacktrick AI Hackathon, Dell Technologies
- 2ⁿᵈ Place, AIC Competition for Arabic Text Summarization, Military Technical College, Egypt
- Full Ph.D. Scholarship, McMaster University (2023–2026)
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2022 - Best Solution Challenge Chapter (Global), Google Developer Student Clubs
- Shield of Contribution, School of Engineering and Applied Sciences, Nile University
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2021 - Dean's Honor List (GPA above 3.75/4.00), Fall and Spring, Nile University
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2018 - Full B.Sc. Scholarship, Nile University (2018–2023)
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2017 - 3ʳᵈ Place (Embedded Systems), Intel International Science and Engineering Fair (ISEF)
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2015 - Bronze Medal, Egyptian Olympiad in Informatics
Presentations
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2026 - Poster, RetinexDual, ICPR 2026, Lyon, France (Aug 2026)
- Poster, RetinexDualV2, CVPR 2026 NTIRE Workshop, Denver, CO, USA (Jun 2026)
Teaching
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2023 – now Canada
Teaching Assistant
McMaster University, Department of Electrical and Computer Engineering - COMPENG 2SH4: Principles of Programming (Fall 2025, Fall 2026)
- COMPENG 3SM4: Algorithm Design and Analysis (Winter 2024, 2025, 2026)
- ELECENG 3TQ3: Advanced Probability and Random Processes (Fall 2024)
- COMPENG 4DM4: Computer Architecture (Fall 2023)
Academic Service
- Reviewer: AAAI Conference on Artificial Intelligence (AAAI 2025); IEEE Access (6 reviews, 2022–2023); Entropy (2026)
Skills
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Programming
- Python, C/C++, MATLAB, Java, Bash
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Deep Learning
- PyTorch, CUDA, TensorFlow/Keras, Hugging Face, timm, BasicSR, mamba-ssm, Weights & Biases, multi-GPU training
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Vision and 3D
- Image restoration and enhancement, 3D Gaussian Splatting, NeRF, OpenCV, segmentation (U-Net), YOLO, SAM
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Other
- Federated learning (Flower), NVIDIA Jetson/TensorRT, Git, Linux, LaTeX
Leadership and Outreach
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2021 – 2022 Lead, Google Developer Student Clubs
Nile University - Led 500+ students; organized workshops and hackathons with the Google community.
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2021 Deep Learning Instructor, Root Student Club
Nile University - Designed and taught a 6-month deep learning bootcamp for 120+ students.
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2019 – 2021 Senator, Nile University Student Union
Nile University -
2019 – 2020 Instructor, ICPC Training
Nile University - Trained competitive-programming teams in algorithms and problem solving.